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Strong understanding of communication theory and signal processing. You will have the chance to create algorithms and architectures of wireless communication systems, as well as collaborate with extraordinary RF/analog, HW, SW designers and architects to implement, verify, validate and bring up SoC products to production quality, providing them to millions of Apple customers.
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Working knowledge of MATLAB for DSP using related toolboxes, background with Radar Processing, DSP for mitigating/processing RF effects, Monte Carlo analysis or Phased Array/Beam Forming is a plus.
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Minimum Required Skills / Competencies: Solid understanding of RF propagation principles, cellular theory, RF engineering tools and antenna theory. An RF Engineer must use creativity and sound judgment to provide the proper design and optimization of the portion of the network assigned to them.
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In addition, an Engineer IV must possess the following qualifications: Technical understanding of Radar/ RF Engineering and control systems (Hardware, Antenna Theory, Microwave Engineering, Signal Processing, Control Systems, Computer, Communications.
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Minimum of 5 years’ experience with RF propagation principles, cellular theory, RF engineering tools, MapInfo, and ATOLL. Proven experience working with Ericsson ENM, AMOS platforms.
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Background in RF/Microwave circuits; both theory and measurement. Develop, use, and maintain accurate physical models for proprietary acoustic-wave Radio Frequency (RF) circuits.
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Experience with Digital Signal Processing and communications systems and theory and RF waveform generation/reception. You will be responsible for the Customer Requirements analysis and defining required real-time embedded processing, digital and RF architectures, digital signal processing and signal generation functionalities, and interfaces (digital, electrical, RF, software etc.
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RF Antenna Theory. The Engineer in this role will support advanced technology radar, guided munition and EW programs including research and development of advanced digital signal processing (DSP) algorithms, high-fidelity radar and RF modeling, simulation, analysis and integration with RF sensors and systems.
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Technical background in RF theory and large aperture antenna systems. Northrop Grumman Space Systems is seeking a Staff Systems Engineer to lead and manage a major subcontractor responsible for delivering many large aperture full motion antenna systems supporting the Deep Space Advanced Radar Capability (DARC) program.
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Experience with Imaging EO/IR/RF systems, energy transport, or radar physics, signal processing or discrimination algorithms. Course work or experience in signal & image processing, digital communications, or estimation theory.
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BS in Electrical Engineering with relevant coursework in digital communication theory, digital signal processing, RF/Microwave Engineering, Antennas and Electromagnetic theory. End-to-end modeling, simulation and analysis of baseband/RF/antenna systems.
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MS in Electrical Engineering, with emphasis on RF circuits and systems, Applied EM, Microwave engineering, Digital Signal Processing, and/or Communication Systems; Ph. D. is preferred. Drive engagement with key OEMs in providing RF systems architecture expertise to validate requirements and support phone set development with S.LSI next generation LTE/NR cellular chipset.
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Knowledge of airborne, avionics, RF, analog and digital products. The Quality Assurance (QA) Manager is responsible for ensuring the highest quality RF electronic products are produced and that all internal and external requirements are met prior to shipping products to our customers.
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That’s why we need you, an electrical engineer with a background in signal processing, embedded processing, RF theory, or software development to help us design and develop new tools for these hard signal-processing problems.
$58,400 - $133,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Deep-knowledge of communication system theory and signal processing will be important for this role to design algorithms such as timing recovery, filter design, signal estimation and detection, automatic gain control, RF impairments estimation and correction, channel estimation, equalization, forward-error correction, OFDM, MIMO detection, etc.
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